Time Series Prediction
Time series prediction - just like sensor signal classification - is a core component for any kind of "intelligent system". Every intelligent action implies the prediction and rating of possible future states for the deduction of the best appropriate action.
Machine learning methods are best suited for this, because they are efficient in design and robust in operation and they provide the best functionality.
Exemplary fields of application are
- the estimation of the danger of a driving situation in "intelligent" vehicles,
- the prediction of traffic loads,
- the fusion of sensor data for improved and safe-guarded information,
- the prediction of economic and financial data, indices, and rates,
- the prediction of environmental loads,
- the prediction of the energy consumption of buildings, cities, regions, e.g. for the control of power plants,
- the prediction of material and component loads,